Solutions Engineer

Qdrant

. Translate architectural requirements such as Multi-AZ, sharding, and replication into accurate pricing models and contract terms .

Posted 9/22/2026full-timeRemote • United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in translating architectural requirements into pricing models while coordinating with cross-functional teams to ensure customer satisfaction and technical alignment. Proficient in cloud platforms and search technologies, with strong communication skills to bridge technical and business discussions.

Highest-signal resume keywords

Sales Engineering ExperienceCloud Platforms (AWS, GCP, Azure)Kubernetes ExperienceScripting Ability (Python, Bash)Vector Databases (Elasticsearch, Solr, OpenSearch)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Technical Sales WorkflowTotal Cost of Ownership (TCO) CalculationHardware Requirements EstimationHigh-Availability Search ClustersData Science Background

Soft Skills

Strong Communication Skills

Tools & Technologies

JiraSalesforce

Industry Keywords

Solutions ArchitectureTechnical ConsultingEnterprise Procurement ProcessesInfosec QuestionnairesMSA Redlines

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsElasticSearchGoogle Cloud PlatformKubernetesPython

About the role

Key responsibilities & impact

Translate architectural requirements such as Multi-AZ, sharding, and replication into accurate pricing models and contract terms
Work alongside senior team members to protect deal value
Coordinate with Support, Product, and Engineering to unblock proofs of concept (POCs)
Keep the technical sales workflow moving in Jira and Salesforce
Identify noisy neighbour issues, latency bottlenecks, and resource contention before they affect renewals or expansions
Join discovery sessions to validate use cases and map migration paths from Elastic, Solr, and OpenSearch to Qdrant
Help specify high-availability search clusters meeting customer SLAs and throughput needs
Act as a technical point of contact during customer evaluations
Help customers reach value quickly

Requirements

What you’ll need

2-4 years of technical, customer-facing experience in Sales Engineering, Solutions Architecture, or Technical Consulting
Background in data science, computer engineering, or a previous DevOps role
Scripting ability in Python or Bash
Ability to calculate total cost of ownership (TCO)
Ability to estimate hardware requirements (RAM, CPU, disk) for distributed systems
Experience with Kubernetes
Experience with cloud platforms (AWS, GCP, or Azure)
Understanding of how infrastructure choices affect cost and performance
Strong communication skills, comfortable explaining technical concepts to engineers and business stakeholders
Experience with vector databases or search technologies such as Elasticsearch, Solr, OpenSearch, Lucene, or similar
Exposure to enterprise procurement processes, infosec questionnaires, or MSA redlines

Benefits

Comp & perks

A competitive salary with additional perks
Flexible working hours and async-friendly culture
High ownership and real impact
Open-source, engineering-driven culture
Choose your own laptop equipment
401k match for US-based full-time employees
Health insurance for US-based full-time employees
Dental insurance for US-based full-time employees
Vision insurance for US-based full-time employees
Flexible PTO policy for US-based full-time employees
Remote-first, international team